TheAlgorithms/Java tells you up front that it may lose to the standard library
All Algorithms implemented in Java. All algorithms are implemented in Java (for educational purposes) These implementations are intended for learning purposes.
At a glance
- What is it?
- An MIT-licensed collection of Java algorithm implementations kept for teaching, with 66,333 stars and 21,273 forks but no releases, no homepage and an 85 word README. The list of what is actually implemented lives in DIRECTORY.md, and five static analysis config files sit at the top level.
- Who is it for?
- Read TheAlgorithms/Java when you want a clean Java reference for an algorithm you are about to write yourself, and copy the code only as a starting point. Do not adopt it as a library, because the project itself says the implementations may be less efficient than the Java standard library, and there is no release to depend on anyway.
- Can I use it commercially?
- Yes. MIT is a permissive licence: you can use, modify and sell software built on it, as long as you keep its copyright and licence notices.
- Is it still maintained?
- Yes. The repository received new commits within the last day.
- What is it written in?
- Mainly Java, according to GitHub's language statistics.
Answers come from the project's GitHub data, last synced on November 13, 2026, and from our analysis. They are not legal advice.
Star history
- TheAlgorithms/Java67,229 ★ · +1,164
| Repository | 2026-07-28 | 2026-11-13 |
|---|---|---|
| TheAlgorithms/Java | 66.1k | 67.2k |
1,164 Stars in the last 108 days, measured from the daily GitHub snapshot. Compare with other projects
Editorial analysis
The one substantive sentence in the README is a warning
Strip the badges and links out of this README and roughly one sentence of actual guidance remains, and it is a disclaimer. The implementations are said to be intended for learning purposes, and as such they may be less efficient than the Java standard library. That sentence appears twice over: the repository description repeats the educational framing, and the README body states the efficiency caveat in its own sentence. It sets the terms for everything else. The consequence is direct. A sorting or searching routine lifted from src/ is a teaching artifact, and the project is telling you so before you paste it. If you need the fast version, the standard library is the reference the project itself points at, and this repository exists to show you how the idea works rather than to outrun it.
The front page names no algorithms at all
The README is 85 words long, and none of them enumerate anything. There is a heading for contribution guidelines that points at CONTRIBUTING.md, and a heading for algorithms whose entire content is a sentence saying the directory file has the full list of algorithms implemented in Java. So the complete inventory of what this repository contains is one file away, and the front page is a signpost rather than a catalogue. That is a reasonable choice for a project whose contents change with every merged contribution, but it has a cost for anyone evaluating it. You cannot answer what is covered, how many implementations exist, or whether the algorithm you need is present without opening DIRECTORY.md.
Four analysis configs, and two of them are exclusion lists
The top level of the repository is more revealing about how contributions are judged than the README is. There is a checkstyle configuration, a custom PMD ruleset, a PMD exclude properties file, and a SpotBugs exclude file, alongside an Infer configuration. Five static analysis config files is a lot for a teaching repository, and the shape of them is the detail worth noting: two of the five are exclusion lists. An exclusion properties file and an exclude XML exist precisely to record findings that are not being enforced. The consequence for a contributor is that when a new file trips something, the fix may be to add a suppression rather than to change the code, and the suppression is invisible unless you go looking in those two files. Anyone relying on these checks as a quality signal should read the exclusions first, because the exclusion files may suppress some findings.
Maven drives the build and the CI badge points at one workflow
The build is Maven, with pom.xml at the repository root and no alternative build descriptor beside it. The README carries a badge linking to a build workflow under .github/workflows, plus a codecov badge, so coverage reporting is wired into the same loop. What the top level does not contain is any benchmark harness, which is consistent with a project that asks you to read code rather than measure it and that tells you up front not to treat its output as a performance result. The practical consequence for a reader is that the README gives no number comparing these implementations to anything else, so any claim about how fast a given routine is has to come from somewhere else. The absence of benchmarks is not a gap in a teaching repository, but it does mean the efficiency caveat in the README is the only performance guidance you get.
Three environment definitions, and only one is recommended
The README recommends Gitpod and describes it as a free online development environment where you can run and edit the algorithms or contribute with a single click, and the top level carries three separate definitions for doing that. There is a .gitpod.yml together with a dedicated .gitpod.dockerfile, and there is a .devcontainer directory. So the repository supports a hosted workspace, a Gitpod-specific container, and the Dev Container specification, with the README naming only the first. The consequence is that a contributor arriving through a local editor configured for devcontainers is using a path the README never mentions, and if the two definitions drift apart there is no statement anywhere about which one is authoritative. Treat the devcontainer as unverified until you have run it, and do not assume it matches what the Gitpod badge builds.
A .clang-format file sits in a Java repository
One entry in the top level does not belong to the language: .clang-format, sitting in a repository whose primary language is Java and whose build is Maven. Nothing in the README explains what it formats. clang-format is usually associated with C-family code, although it can also format Java. It is a small thing, and it is the kind of small thing that matters when you are trying to work out how much attention a project pays to the files at its root.
66,333 stars, no releases, no homepage
The repository has 66,333 stars and 21,273 forks, and it has no GitHub releases at all and no homepage recorded. The default branch is master and the last push was on 2026-11-01. For a project you install, those numbers would be alarming. For a reference repository they are close to correct, because there is nothing here to release: no artifact, no version, no compatibility promise, just source that is meant to be read and copied. The consequence is about how you cite it. A runbook cannot point at a release, so it has to point at a commit hash, and a fork is the normal way to consume the work rather than a sign of disagreement. The fork count is the honest measure of use here, and at over 21,000 it is doing exactly what the README asks: people taking the code into their own trees.
Editorial conclusion
Read TheAlgorithms/Java when you want a clean Java reference for an algorithm you are about to write yourself, and copy the code only as a starting point. Do not adopt it as a library, because the project itself says the implementations may be less efficient than the Java standard library, and there is no release to depend on anyway. Two things to check before you rely on it. Open DIRECTORY.md, since the front page names no algorithms at all, and if you intend to contribute, read CONTRIBUTING.md and the exclusion lists, because pmd-exclude.properties and spotbugs-exclude.xml may switch some checks off. Fork it rather than depending on it; 21,273 forks is what the project is for.
Frequently asked questions
What are algorithms in Java, in this repository's terms?
It is a collection of algorithm implementations written in Java, all under the MIT license, kept specifically for education. The README states plainly that the implementations are intended for learning purposes and may be less efficient than the Java standard library.
Which algorithms does TheAlgorithms/Java actually contain?
The README does not list any. It points to DIRECTORY.md, which holds the full list of algorithms implemented in Java, and that file is the only inventory of coverage in the repository. The front page is 85 words long and consists of badges, a contribution guideline link and that directory link.
Can I use these implementations in production code?
Not on the project's own terms. The README says the implementations are meant for learning and may be less efficient than the Java standard library, and the repository has no releases, so there is no version to depend on. Treat the code as a reference to read and adapt rather than a library to import.
How do I contribute to TheAlgorithms/Java?
The README directs contributors to CONTRIBUTING.md first. The build is Maven through pom.xml, and the top level carries checkstyle, a custom PMD ruleset, a PMD exclude properties file and a SpotBugs exclude file, so read the exclusion lists before assuming a check failure reflects a real defect.
Official sources
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